Health study using Markov chain modeling
*J. VijayarangamCorresponding authorjvijayarangam75@gmail.comDepartment of MathematicsSriperumbudurSri Venkateswara College of EngineeringChennai, Tamil Nadu, 602117, IndiaView full profile → , N. Kalaivanikalaivani.rajam@gmail.comdrkalaivani@veltech.edu.inDepartment of MathematicsAvadiVel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and TechnologyChennai, Tamil Nadu, 600062, IndiaView full profile → , J. Viswanathjviswanath@veltech.edu.inDepartment of MathematicsAvadiVel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and TechnologyChennai, Tamil Nadu, 600062, IndiaView full profile → , T. Karthikeyankarthick@rkmvc.ac.inDepartment of MathematicsRamakrishna Mission Vivekananda College (Autonomous)Chennai, Tamil Nadu, 600004, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Nov 2025
- Published Online:
- 04 Apr 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-2170
- Pages:
- 1223–1235
Abstract
Keywords
Subject Classifications
References
[1] J. A. Yates, L. Clare, and R. T. Woods, “What is the relationship between health, mood and mild cognitive impairment,” Journal of Alzheimer’s Disease, vol. 55, no. 3, pp. 1183–1193 (2017). doi: 10.3233/JAD-160611.
[2] World Health Organization, Mental Health: Facing the Challenges, Building Solutions. Report from the WHO European Ministerial Conference. Copenhagen, Denmark: WHO Regional Office for Europe (2005).
[3] A. T. Beekman, D. J. Deeg, J. H. Smit, and W. van Tilburg, “Predicting the course of depression in the older population: Results from a community-based study in the Netherlands,” Journal of Affective Disorders, vol. 34, no. 1, pp. 41–49 (1995).
[4] A. T. Beekman, D. M. Kriegsman, D. J. Deeg, and W. van Tilburg, “The association of physical health and depressive symptoms in the older population: Age and sex differences,” Social Psychiatry and Psychiatric Epidemiology, vol. 30, no. 1, pp. 32–38 (Jan. 1995). doi: 10.1007/BF00784432.
[5] W. van den Brink, A. Leenstra, J. Ormel, and G. van de Willige, “Mental health intervention programs in primary care: Their scientific basis,” Journal of Affective Disorders, vol. 21, no. 4, pp. 273–284 (Apr. 1991). doi: 10.1016/0165-0327(91)90007-F.
[6] J. Spijker and S. Claes, “Mood disorders in the DSM-5,” Tijdschrift voor Psychiatrie, vol. 56, no. 3, pp. 173–176 (2014).
[7] R. M. Benca, M. Okawa, M. Uchiyama, S. Ozaki, T. Nakajima, K. Shibui, and W. H. Obermeyer, “Sleep and mood disorders,” Sleep Medicine Reviews, vol. 1, no. 1, pp. 45–56 (Nov. 1997).doi: 10.1016/S1087-0792(97)90005-8.
[8] A. Le Glaz, Y. Haralambous, D.-H. Kim-Dufor, P. Lenca, R. Billot, T. C. Ryan, J. Marsh, J. DeVylder, M. Walter, S. Berrouiguet, and C. Lemey, “Machine learning and natural language processing in mental health: Systematic review,” Journal of Medical Internet Research, vol. 23, no. 5 (2021).
[9] H. Almeida, A. Briand, and M.-J. Meurs, “Detecting early risk of depression from social media user-generated content,” in Proceedings of the Conference and Labs of the Evaluation Forum (CLEF), Dublin, Ireland (2017).
[10] G. Azar, C. Gloster, N. El-Bathy, S. Yu, R. H. Neela, and I. Alothman, “Intelligent data mining and machine learning for mental health diagnosis using genetic algorithm,” in 2015 IEEE International Conference on Electro/Information Technology (EIT), pp. 201–206, (2015).
[11] “Mood states prediction by stochastic Petri nets,” in International Psychological Applications Conference and Trends, Budapest, Hungary (2017).
[12] S. Bhattacharya, “Markov chain model to explain the dynamics of human depression,” Journal of Nonlinear Dynamics, vol. 2014, Article ID 107164, pp. 9 (2014). doi: 10.1155/2014/107164.
[13] N. K. Rajpoot, P. D. Singh, B. Pant, and V. Tripathi, “Leveraging machine learning in healthcare: Exploring benefits and challenges,” Journal of Information and Optimization Sciences, vol. 45, no. 2, pp. 459–467 (2024).
[14] M. B. Khan and A. K. J. Saudagar, “Comparative analysis of medical knowledge and inferential capabilities of modern LLMs,” Journal of Information and Optimization Sciences, vol. 27, no. 8, pp. 1713–1722 (2024).
[15] V. K. Verma, B. Saini, T. Jain, and P. Dadheech, “Cognitive equilibrium and instability: Lyapunov stability analysis in mental health research,” Journal of Information and Optimization Sciences, vol. 27, no. 2, pp. 273–283 (2024).
[16] D. Mane, P. Charkha, N. N. K. Lyngdoh, P. A. Patil, P. P. Roy, J. Kumawat, and V. Khetani, “Deep learning-enhanced decision support systems for optimized health informatics solutions,” Journal of Information and Optimization Sciences, vol. 46, no. 4B, pp. 1265–1275 (2025).
